| 神经网络在机械设备故障诊断中的应用研究 |
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| 引用本文： | 吴彦春,王舜燕.神经网络在机械设备故障诊断中的应用研究[J].武汉理工大学学报,2002,24(5):95-97. |
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| 作者姓名： | 吴彦春 王舜燕 |
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| 作者单位： | 武汉理工大学 |
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| 摘 要： | 提出了一种基于RBF神经网络的机械设备故障诊断方法，详细讨论了RBF神经网络的结构、训练算法及用于机械设备故障诊断的步骤，最后通过以柴油机系统的故障诊断为例，验证了此方法的可行性。
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| 关 键 词： | RBF神经网络 机械设备 故障诊断 |
| 文章编号： | 1671-4431(2002)05-0095-03 |
| 修稿时间： | 2001年9月26日 |
Use of RBF Neural Networks in Fault Diagnosis for Mechanical Equipment |
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| Wu Yanchun Wang Shunyan Lect.,School of Mechanical and Electrical Engineering,WUT,Wuhan ,China..Use of RBF Neural Networks in Fault Diagnosis for Mechanical Equipment[J].Journal of Wuhan University of Technology,2002,24(5):95-97. |
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| Authors: | Wu Yanchun Wang Shunyan Lect School of Mechanical and Electrical Engineering WUT Wuhan China |
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| Affiliation: | Wu Yanchun Wang Shunyan Lect.,School of Mechanical and Electrical Engineering,WUT,Wuhan 430070,China. |
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| Abstract: | The method of fault diagnosis for mechanical equipment is presented in this paper. This paper discusses the structure of RBF neural network, the training algorithm and stages of fault diagnosis. The fault diagnosis example of marine diesel engine is given in the end, and it's effective. |
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| Keywords: | RBF neural network mechanical equipment fault diagnosis |
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